Instructions to use juicenv/microduck-tug-puller2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Microduck
How to use juicenv/microduck-tug-puller2 with Microduck:
# Replace SLOT with the slot specified in the model card (walk, stand, sitstand, ground_pick, kick_left, kick_right, roulade). sudo robotctl policy load SLOT juicenv/microduck-tug-puller2
- Notebooks
- Google Colab
- Kaggle
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tags:
- microduck
- robotics
- reinforcement-learning
- onnx
library_name: microduck
pipeline_tag: robotics
base_model: Nico-robot/microduck-tug-of-war
base_model_relation: finetune
---
# tug-puller2
Tug of War puller, fine-tuned from Nico-robot/microduck-tug-of-war (via our tug-puller1) by self-play against its own earlier checkpoint with a stronger pull reward. Plain network, no seed tables.
A **perpetual** policy for the [microduck](https://github.com/pollen-robotics/microduck) (61-D observation, 14 actions, 50 Hz). Runs until told otherwise — a gait, loaded into a policy slot.
## Run it on a robot
```bash
sudo robotctl policy load <slot> juicenv/microduck-tug-puller2
```
The observation normalizer is baked into `policy.onnx`; feed raw observations.
`manifest.json` follows schema 2 of the microduck policy manifest (`docs/policy-manifest.md` in the daemon repo).
A remix of [Nico-robot/microduck-tug-of-war](https://huggingface.co/Nico-robot/microduck-tug-of-war).
## Training
- **repo**: `pollen-robotics/microduck_rl`
- **branch**: `main`
- **commit**: `4b675ebf4`
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